An Economic Evaluation of Family‐Based Versus Traditional Helicobacter pylori Screen‐and‐Treat Strategy: Based on Real‐World Data and Microsimulation Model

ABSTRACT Objective There is an economic evaluation on the family‐based Helicobacter pylori screen‐and‐treat strategy (FBHS) in China. This study aimed to compare the cost‐effectiveness of the FBHS with the traditional H. pylori screen‐and‐treat strategy (TBHS). Materials and Methods A seven‐state mi...

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Veröffentlicht in:Helicobacter (Cambridge, Mass.) Mass.), 2024-07, Vol.29 (4), p.e13123-n/a
Hauptverfasser: Ma, Yue, Zhou, Xianzhu, Liu, Yashi, Xu, Shihan, Ma, Aixia, Du, Yiqi, Li, Hongchao
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container_issue 4
container_start_page e13123
container_title Helicobacter (Cambridge, Mass.)
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creator Ma, Yue
Zhou, Xianzhu
Liu, Yashi
Xu, Shihan
Ma, Aixia
Du, Yiqi
Li, Hongchao
description ABSTRACT Objective There is an economic evaluation on the family‐based Helicobacter pylori screen‐and‐treat strategy (FBHS) in China. This study aimed to compare the cost‐effectiveness of the FBHS with the traditional H. pylori screen‐and‐treat strategy (TBHS). Materials and Methods A seven‐state microsimulation model, including H. pylori infection and gastric cancer states, was constructed on the basis of the target family samples from 29 provinces in China. Taking a lifetime horizon from a healthcare system perspective, the long‐term costs and health outcomes of the FBHS and TBHS screening strategies were simulated separately, and economic evaluations were performed. The model parameters were primarily derived from real‐world data, published literature, and expert opinions. The primary outcome was the incremental cost‐effectiveness ratio (ICER) expressed as cost/quality‐adjusted life‐year (QALY) gained. One‐way sensitivity analysis, probabilistic sensitivity analysis, and scenario analysis were performed to assess the uncertainty of the results. Results The base‐case analysis revealed that the average costs for FBHS and TBHS were 563.67 CNY and 574.08 CNY, respectively, with corresponding average QALYs of 14.83 and 14.79. The ICER for the comparison between the two strategies was −214.07, indicating that FBHS was an absolutely dominant strategy with better cost‐effectiveness. The results of both one‐way sensitivity analysis and probabilistic sensitivity analysis were robust. When taking into account the added benefit of the higher H. pylori eradication rate in FBHS, the average costs were further reduced, and the average QALYs were increased, solidifying its position as an unequivocally dominant strategy. Conclusion The FBHS is an absolutely dominant and cost‐effective strategy that enables an optimized allocation of screening resources. Decision‐makers should prioritize FBHS when developing H. pylori prevention and control strategies.
doi_str_mv 10.1111/hel.13123
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This study aimed to compare the cost‐effectiveness of the FBHS with the traditional H. pylori screen‐and‐treat strategy (TBHS). Materials and Methods A seven‐state microsimulation model, including H. pylori infection and gastric cancer states, was constructed on the basis of the target family samples from 29 provinces in China. Taking a lifetime horizon from a healthcare system perspective, the long‐term costs and health outcomes of the FBHS and TBHS screening strategies were simulated separately, and economic evaluations were performed. The model parameters were primarily derived from real‐world data, published literature, and expert opinions. The primary outcome was the incremental cost‐effectiveness ratio (ICER) expressed as cost/quality‐adjusted life‐year (QALY) gained. One‐way sensitivity analysis, probabilistic sensitivity analysis, and scenario analysis were performed to assess the uncertainty of the results. Results The base‐case analysis revealed that the average costs for FBHS and TBHS were 563.67 CNY and 574.08 CNY, respectively, with corresponding average QALYs of 14.83 and 14.79. The ICER for the comparison between the two strategies was −214.07, indicating that FBHS was an absolutely dominant strategy with better cost‐effectiveness. The results of both one‐way sensitivity analysis and probabilistic sensitivity analysis were robust. When taking into account the added benefit of the higher H. pylori eradication rate in FBHS, the average costs were further reduced, and the average QALYs were increased, solidifying its position as an unequivocally dominant strategy. Conclusion The FBHS is an absolutely dominant and cost‐effective strategy that enables an optimized allocation of screening resources. Decision‐makers should prioritize FBHS when developing H. pylori prevention and control strategies.</description><identifier>ISSN: 1083-4389</identifier><identifier>ISSN: 1523-5378</identifier><identifier>EISSN: 1523-5378</identifier><identifier>DOI: 10.1111/hel.13123</identifier><identifier>PMID: 39108224</identifier><language>eng</language><publisher>England: Wiley Subscription Services, Inc</publisher><subject>Adult ; China ; Computer Simulation ; Cost benefit analysis ; Costs ; cost‐utility analysis ; economic evaluation ; Economics ; Effectiveness ; family‐based screening ; Female ; Gastric cancer ; Helicobacter Infections - diagnosis ; Helicobacter Infections - drug therapy ; Helicobacter Infections - economics ; Helicobacter Infections - microbiology ; Helicobacter pylori ; Helicobacter pylori - genetics ; Helicobacter pylori - isolation &amp; purification ; Humans ; Male ; Mass Screening - economics ; Mass Screening - methods ; microsimulation ; Middle Aged ; Quality-Adjusted Life Years ; real‐world study ; Sensitivity analysis ; Service life assessment ; Stomach Neoplasms - microbiology ; Uncertainty analysis</subject><ispartof>Helicobacter (Cambridge, Mass.), 2024-07, Vol.29 (4), p.e13123-n/a</ispartof><rights>2024 John Wiley &amp; Sons Ltd.</rights><rights>Copyright © 2024 John Wiley &amp; Sons Ltd.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c3133-f21743f91230c7025c2deb42e737f008606ea85254f7b9b25a5d277c3bbaf6733</cites><orcidid>0000-0002-4261-6888</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1111%2Fhel.13123$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1111%2Fhel.13123$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,776,780,1411,27901,27902,45550,45551</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/39108224$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Ma, Yue</creatorcontrib><creatorcontrib>Zhou, Xianzhu</creatorcontrib><creatorcontrib>Liu, Yashi</creatorcontrib><creatorcontrib>Xu, Shihan</creatorcontrib><creatorcontrib>Ma, Aixia</creatorcontrib><creatorcontrib>Du, Yiqi</creatorcontrib><creatorcontrib>Li, Hongchao</creatorcontrib><title>An Economic Evaluation of Family‐Based Versus Traditional Helicobacter pylori Screen‐and‐Treat Strategy: Based on Real‐World Data and Microsimulation Model</title><title>Helicobacter (Cambridge, Mass.)</title><addtitle>Helicobacter</addtitle><description>ABSTRACT Objective There is an economic evaluation on the family‐based Helicobacter pylori screen‐and‐treat strategy (FBHS) in China. This study aimed to compare the cost‐effectiveness of the FBHS with the traditional H. pylori screen‐and‐treat strategy (TBHS). Materials and Methods A seven‐state microsimulation model, including H. pylori infection and gastric cancer states, was constructed on the basis of the target family samples from 29 provinces in China. Taking a lifetime horizon from a healthcare system perspective, the long‐term costs and health outcomes of the FBHS and TBHS screening strategies were simulated separately, and economic evaluations were performed. The model parameters were primarily derived from real‐world data, published literature, and expert opinions. The primary outcome was the incremental cost‐effectiveness ratio (ICER) expressed as cost/quality‐adjusted life‐year (QALY) gained. One‐way sensitivity analysis, probabilistic sensitivity analysis, and scenario analysis were performed to assess the uncertainty of the results. Results The base‐case analysis revealed that the average costs for FBHS and TBHS were 563.67 CNY and 574.08 CNY, respectively, with corresponding average QALYs of 14.83 and 14.79. The ICER for the comparison between the two strategies was −214.07, indicating that FBHS was an absolutely dominant strategy with better cost‐effectiveness. The results of both one‐way sensitivity analysis and probabilistic sensitivity analysis were robust. When taking into account the added benefit of the higher H. pylori eradication rate in FBHS, the average costs were further reduced, and the average QALYs were increased, solidifying its position as an unequivocally dominant strategy. Conclusion The FBHS is an absolutely dominant and cost‐effective strategy that enables an optimized allocation of screening resources. Decision‐makers should prioritize FBHS when developing H. pylori prevention and control strategies.</description><subject>Adult</subject><subject>China</subject><subject>Computer Simulation</subject><subject>Cost benefit analysis</subject><subject>Costs</subject><subject>cost‐utility analysis</subject><subject>economic evaluation</subject><subject>Economics</subject><subject>Effectiveness</subject><subject>family‐based screening</subject><subject>Female</subject><subject>Gastric cancer</subject><subject>Helicobacter Infections - diagnosis</subject><subject>Helicobacter Infections - drug therapy</subject><subject>Helicobacter Infections - economics</subject><subject>Helicobacter Infections - microbiology</subject><subject>Helicobacter pylori</subject><subject>Helicobacter pylori - genetics</subject><subject>Helicobacter pylori - isolation &amp; purification</subject><subject>Humans</subject><subject>Male</subject><subject>Mass Screening - economics</subject><subject>Mass Screening - methods</subject><subject>microsimulation</subject><subject>Middle Aged</subject><subject>Quality-Adjusted Life Years</subject><subject>real‐world study</subject><subject>Sensitivity analysis</subject><subject>Service life assessment</subject><subject>Stomach Neoplasms - microbiology</subject><subject>Uncertainty analysis</subject><issn>1083-4389</issn><issn>1523-5378</issn><issn>1523-5378</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp1kc1u1DAQxy0Eoh9w4AWQJS70kNYf8TrhVsqWRdoKiS5wjCbOBFw58dZOQLnxCLwDb8aT4JDCAQkfxpbmN__xzJ-QJ5yd8nTOPqM75ZILeY8cciVkpqQu7qc3K2SWy6I8IEcx3jDGlMzLh-RAliklRH5Ifpz3dG187ztr6PoLuBEG63vqW3oJnXXTz2_fX0LEhn7AEMdIdwEaOyPg6AadNb4GM2Cg-8n5YOm1CYh9qoK-SXEXEAZ6PQQY8NP0gi5aqcE7BJfyH31wDX0FA9BUQK-sCT7abnTLN658g-4RedCCi_j47j4m7y_Xu4tNtn37-s3F-TYzkkuZtYLrXLZl2gMzmgllRIN1LlBL3TJWrNgKoVBC5a2uy1ooUI3Q2si6hnalpTwmzxfdffC3I8ah6mw06Bz06MdYSVaURSGKUiT02T_ojR9D2slMlXqldM5n6mSh5qFiwLbaB9tBmCrOqtm5KjlX_XYusU_vFMe6w-Yv-ceqBJwtwFfrcPq_UrVZbxfJXwDSprw</recordid><startdate>202407</startdate><enddate>202407</enddate><creator>Ma, Yue</creator><creator>Zhou, Xianzhu</creator><creator>Liu, Yashi</creator><creator>Xu, Shihan</creator><creator>Ma, Aixia</creator><creator>Du, Yiqi</creator><creator>Li, Hongchao</creator><general>Wiley Subscription Services, Inc</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QL</scope><scope>C1K</scope><scope>K9.</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0002-4261-6888</orcidid></search><sort><creationdate>202407</creationdate><title>An Economic Evaluation of Family‐Based Versus Traditional Helicobacter pylori Screen‐and‐Treat Strategy: Based on Real‐World Data and Microsimulation Model</title><author>Ma, Yue ; Zhou, Xianzhu ; Liu, Yashi ; Xu, Shihan ; Ma, Aixia ; Du, Yiqi ; Li, Hongchao</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3133-f21743f91230c7025c2deb42e737f008606ea85254f7b9b25a5d277c3bbaf6733</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Adult</topic><topic>China</topic><topic>Computer Simulation</topic><topic>Cost benefit analysis</topic><topic>Costs</topic><topic>cost‐utility analysis</topic><topic>economic evaluation</topic><topic>Economics</topic><topic>Effectiveness</topic><topic>family‐based screening</topic><topic>Female</topic><topic>Gastric cancer</topic><topic>Helicobacter Infections - diagnosis</topic><topic>Helicobacter Infections - drug therapy</topic><topic>Helicobacter Infections - economics</topic><topic>Helicobacter Infections - microbiology</topic><topic>Helicobacter pylori</topic><topic>Helicobacter pylori - genetics</topic><topic>Helicobacter pylori - isolation &amp; purification</topic><topic>Humans</topic><topic>Male</topic><topic>Mass Screening - economics</topic><topic>Mass Screening - methods</topic><topic>microsimulation</topic><topic>Middle Aged</topic><topic>Quality-Adjusted Life Years</topic><topic>real‐world study</topic><topic>Sensitivity analysis</topic><topic>Service life assessment</topic><topic>Stomach Neoplasms - microbiology</topic><topic>Uncertainty analysis</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Ma, Yue</creatorcontrib><creatorcontrib>Zhou, Xianzhu</creatorcontrib><creatorcontrib>Liu, Yashi</creatorcontrib><creatorcontrib>Xu, Shihan</creatorcontrib><creatorcontrib>Ma, Aixia</creatorcontrib><creatorcontrib>Du, Yiqi</creatorcontrib><creatorcontrib>Li, Hongchao</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest Health &amp; Medical Complete (Alumni)</collection><collection>MEDLINE - Academic</collection><jtitle>Helicobacter (Cambridge, Mass.)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Ma, Yue</au><au>Zhou, Xianzhu</au><au>Liu, Yashi</au><au>Xu, Shihan</au><au>Ma, Aixia</au><au>Du, Yiqi</au><au>Li, Hongchao</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>An Economic Evaluation of Family‐Based Versus Traditional Helicobacter pylori Screen‐and‐Treat Strategy: Based on Real‐World Data and Microsimulation Model</atitle><jtitle>Helicobacter (Cambridge, Mass.)</jtitle><addtitle>Helicobacter</addtitle><date>2024-07</date><risdate>2024</risdate><volume>29</volume><issue>4</issue><spage>e13123</spage><epage>n/a</epage><pages>e13123-n/a</pages><issn>1083-4389</issn><issn>1523-5378</issn><eissn>1523-5378</eissn><abstract>ABSTRACT Objective There is an economic evaluation on the family‐based Helicobacter pylori screen‐and‐treat strategy (FBHS) in China. This study aimed to compare the cost‐effectiveness of the FBHS with the traditional H. pylori screen‐and‐treat strategy (TBHS). Materials and Methods A seven‐state microsimulation model, including H. pylori infection and gastric cancer states, was constructed on the basis of the target family samples from 29 provinces in China. Taking a lifetime horizon from a healthcare system perspective, the long‐term costs and health outcomes of the FBHS and TBHS screening strategies were simulated separately, and economic evaluations were performed. The model parameters were primarily derived from real‐world data, published literature, and expert opinions. The primary outcome was the incremental cost‐effectiveness ratio (ICER) expressed as cost/quality‐adjusted life‐year (QALY) gained. One‐way sensitivity analysis, probabilistic sensitivity analysis, and scenario analysis were performed to assess the uncertainty of the results. Results The base‐case analysis revealed that the average costs for FBHS and TBHS were 563.67 CNY and 574.08 CNY, respectively, with corresponding average QALYs of 14.83 and 14.79. The ICER for the comparison between the two strategies was −214.07, indicating that FBHS was an absolutely dominant strategy with better cost‐effectiveness. The results of both one‐way sensitivity analysis and probabilistic sensitivity analysis were robust. When taking into account the added benefit of the higher H. pylori eradication rate in FBHS, the average costs were further reduced, and the average QALYs were increased, solidifying its position as an unequivocally dominant strategy. Conclusion The FBHS is an absolutely dominant and cost‐effective strategy that enables an optimized allocation of screening resources. Decision‐makers should prioritize FBHS when developing H. pylori prevention and control strategies.</abstract><cop>England</cop><pub>Wiley Subscription Services, Inc</pub><pmid>39108224</pmid><doi>10.1111/hel.13123</doi><tpages>11</tpages><orcidid>https://orcid.org/0000-0002-4261-6888</orcidid></addata></record>
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source MEDLINE; Wiley Online Library Journals Frontfile Complete
subjects Adult
China
Computer Simulation
Cost benefit analysis
Costs
cost‐utility analysis
economic evaluation
Economics
Effectiveness
family‐based screening
Female
Gastric cancer
Helicobacter Infections - diagnosis
Helicobacter Infections - drug therapy
Helicobacter Infections - economics
Helicobacter Infections - microbiology
Helicobacter pylori
Helicobacter pylori - genetics
Helicobacter pylori - isolation & purification
Humans
Male
Mass Screening - economics
Mass Screening - methods
microsimulation
Middle Aged
Quality-Adjusted Life Years
real‐world study
Sensitivity analysis
Service life assessment
Stomach Neoplasms - microbiology
Uncertainty analysis
title An Economic Evaluation of Family‐Based Versus Traditional Helicobacter pylori Screen‐and‐Treat Strategy: Based on Real‐World Data and Microsimulation Model
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